Title
Experimental Analysis of Timing Validation Methods for Distributed Real-Time Systems
Abstract
Scheduling jobs dynamically on processors is likely to achieve better performance in multiprocessor and distributed real-time systems. Exhaustive methods for determining whether all jobs complete by their deadlines, in systems that use modern priority-driven scheduling strategies, are often infeasible or unreliable since the execution time of each job may vary. We previously published research results on finding worst-case bounds and efficient algorithms for validating systems in which independent jobs have arbitrary release times and deadlines, and are scheduled on processors dynamically in a priority-driven manner. An efficient method has been proposed to determine how late the completion times of jobs can be in dynamic systems where the jobs are preemptable and nonmigratable. This paper further presents the performance characteristics of the proposed methods, and shows its soundness by providing extensive simulation results. The worst-case completion times of jobs obtained with the proposed methods are compared with the values by simulations under different workload characteristics. The simulation results show that the proposed algorithm performs considerably well for diverse workloads. Considering the previous work showed the unlikelihood of finding tighter bounds than the one given in the paper, the simulation results indicate that the proposed methods effectively constitute a theoretical basis needed for a comprehensive validation strategy that is capable of dealing with dynamic distributed real-time systems.
Year
DOI
Venue
2003
10.1023/A:1022804303992
The Journal of Supercomputing
Keywords
Field
DocType
validation,schedulability analysis,performance evaluation,nonmigratable jobs,distributed real-time system
Validation methods,Workload,Computer science,Scheduling (computing),Parallel computing,Real-time computing,Multiprocessing,Execution time,Soundness,Dynamical system,Distributed computing
Journal
Volume
Issue
ISSN
25
1
1573-0484
Citations 
PageRank 
References 
1
0.36
12
Authors
3
Name
Order
Citations
PageRank
Hojung Cha11907124.59
Rhan Ha258754.88
Jane W.-S. Liu31399337.97